Supplementary processed data for Chandler et al. Single-cell transcriptomics identifies aberrant glomerular angiogenic signalling in the early stages of a murine model of WT1 kidney disease

<p><strong><em>Summary datafiles for Chandler et al.</em></strong></p> <ul> <li>Processed single-cell RNA sequencing data, derived from murine glomeruli (isolated using the dynabead technique) from <em>n = 2</em> wild-type <em>Wt1^+/+</em> (Ctrl) and <em>n = 2</em> mutant <em>Wt1^R394W/+</em> (Mut) littermates of WT1 glomerulopathy, followed by 10x Genomics Chromium v3 platform.</li> <li>Please refer to associated scripts for analysis of the data:&nbsp;<a href="https://github.com/daniyal-jafree1995/collaborations/blob/main/Chandleretal_2022_WT1glomerulopathyscRNAseq.R">https://github.com/daniyal-jafree1995/collaborations/blob/main/Chandleretal_2022_WT1glomerulopathyscRNAseq.R</a>&nbsp;</li> <li>File descriptions as below: <ul> <li>barcodes.tsv.gz - barcodes file required for input to Read10X function in Seurat</li> <li>features.tsv.gz - features&nbsp;file required for input to Read10X function in Seurat</li> <li>matrix.mtx.gz -&nbsp;matrix&nbsp;file required for input to Read10X function in Seurat</li> <li>WT1_scRNAseq.rds - RDS file containing processed and annotated Seurat object for downstream analysis</li> </ul> </li> </ul>